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This methodology also optimizes hyperparameters and could use ensemble strategies to increase model overall performance. Moreover, some AutoML alternatives incorporate product deployment, giving a comprehensive stop-to-close solution. The ultimate aim of AutoML is usually to democratize machine learning, making it feasible for people with constrain